{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "#color = sns.color_palette()\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "# setting params\n",
    "params = {'legend.fontsize': 'x-large',\n",
    "          'figure.figsize': (30, 10),\n",
    "          'axes.labelsize': 'x-large',\n",
    "          'axes.titlesize':'x-large',\n",
    "          'xtick.labelsize':'x-large',\n",
    "          'ytick.labelsize':'x-large'}\n",
    "\n",
    "sns.set_style('whitegrid')\n",
    "sns.set_context('talk')\n",
    "\n",
    "plt.rcParams.update(params)\n",
    "pd.options.display.max_colwidth = 600\n",
    "\n",
    "# pandas display data frames as tables\n",
    "from IPython.display import display, HTML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   pregnants  Plasma_glucose_concentration  blood_pressure  \\\n",
       "0          6                           148              72   \n",
       "1          1                            85              66   \n",
       "2          8                           183              64   \n",
       "3          1                            89              66   \n",
       "4          0                           137              40   \n",
       "\n",
       "   Triceps_skin_fold_thickness  serum_insulin   BMI  \\\n",
       "0                           35              0  33.6   \n",
       "1                           29              0  26.6   \n",
       "2                            0              0  23.3   \n",
       "3                           23             94  28.1   \n",
       "4                           35            168  43.1   \n",
       "\n",
       "   Diabetes_pedigree_function  Age  Target  \n",
       "0                       0.627   50       1  \n",
       "1                       0.351   31       0  \n",
       "2                       0.672   32       1  \n",
       "3                       0.167   21       0  \n",
       "4                       2.288   33       1  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train = pd.read_csv(\"pima-indians-diabetes.csv\")\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 768 entries, 0 to 767\n",
      "Data columns (total 9 columns):\n",
      "pregnants                       768 non-null int64\n",
      "Plasma_glucose_concentration    768 non-null int64\n",
      "blood_pressure                  768 non-null int64\n",
      "Triceps_skin_fold_thickness     768 non-null int64\n",
      "serum_insulin                   768 non-null int64\n",
      "BMI                             768 non-null float64\n",
      "Diabetes_pedigree_function      768 non-null float64\n",
      "Age                             768 non-null int64\n",
      "Target                          768 non-null int64\n",
      "dtypes: float64(2), int64(7)\n",
      "memory usage: 54.1 KB\n"
     ]
    }
   ],
   "source": [
    "train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.845052</td>\n",
       "      <td>120.894531</td>\n",
       "      <td>69.105469</td>\n",
       "      <td>20.536458</td>\n",
       "      <td>79.799479</td>\n",
       "      <td>31.992578</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>33.240885</td>\n",
       "      <td>0.348958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.369578</td>\n",
       "      <td>31.972618</td>\n",
       "      <td>19.355807</td>\n",
       "      <td>15.952218</td>\n",
       "      <td>115.244002</td>\n",
       "      <td>7.884160</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>11.760232</td>\n",
       "      <td>0.476951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>0.243750</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.372500</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>140.250000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>127.250000</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>0.626250</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>846.000000</td>\n",
       "      <td>67.100000</td>\n",
       "      <td>2.420000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        pregnants  Plasma_glucose_concentration  blood_pressure  \\\n",
       "count  768.000000                    768.000000      768.000000   \n",
       "mean     3.845052                    120.894531       69.105469   \n",
       "std      3.369578                     31.972618       19.355807   \n",
       "min      0.000000                      0.000000        0.000000   \n",
       "25%      1.000000                     99.000000       62.000000   \n",
       "50%      3.000000                    117.000000       72.000000   \n",
       "75%      6.000000                    140.250000       80.000000   \n",
       "max     17.000000                    199.000000      122.000000   \n",
       "\n",
       "       Triceps_skin_fold_thickness  serum_insulin         BMI  \\\n",
       "count                   768.000000     768.000000  768.000000   \n",
       "mean                     20.536458      79.799479   31.992578   \n",
       "std                      15.952218     115.244002    7.884160   \n",
       "min                       0.000000       0.000000    0.000000   \n",
       "25%                       0.000000       0.000000   27.300000   \n",
       "50%                      23.000000      30.500000   32.000000   \n",
       "75%                      32.000000     127.250000   36.600000   \n",
       "max                      99.000000     846.000000   67.100000   \n",
       "\n",
       "       Diabetes_pedigree_function         Age      Target  \n",
       "count                  768.000000  768.000000  768.000000  \n",
       "mean                     0.471876   33.240885    0.348958  \n",
       "std                      0.331329   11.760232    0.476951  \n",
       "min                      0.078000   21.000000    0.000000  \n",
       "25%                      0.243750   24.000000    0.000000  \n",
       "50%                      0.372500   29.000000    0.000000  \n",
       "75%                      0.626250   41.000000    1.000000  \n",
       "max                      2.420000   81.000000    1.000000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看数值型特征的基本统计量\n",
    "train.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#从结果中发现很多列的最小值为0，显然很多参数为0，并没有意义，这就表名该值无效或为缺失值。\n",
    "\n",
    "具体来说，下列变量为0时数据无意义： 1、血浆葡萄糖浓度 2、舒张压 3、肱三头肌皮褶厚度 4、餐后血清胰岛素 5、体重指数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plasma_glucose_concentration      5\n",
      "blood_pressure                   35\n",
      "Triceps_skin_fold_thickness     227\n",
      "serum_insulin                   374\n",
      "BMI                              11\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "NaN_col_names = [\"Plasma_glucose_concentration\",\"blood_pressure\",\"Triceps_skin_fold_thickness\",'serum_insulin',\"BMI\"]\n",
    "print (train[NaN_col_names]==0).sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3、肱三头肌皮褶厚度 4、餐后血清胰岛素 这两个属性缺失严重，需要重点观察，其余的中值填充。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0xe84f8d0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x87ffeb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#该问题为分类问题，类别型特征直方图可用countplot\n",
    "sns.countplot(train['Target'])\n",
    "plt.xlabel('Diabetes')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "两种类别大概2：1，说明案例的训练集并不是一个不平衡数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0xea20d30>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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llYwdOzbt27fP2LFjM3bs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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe8d0e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(train['pregnants'])\n",
    "plt.xlabel('pregnant')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xeb872b0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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0asekSZOSpE5dRUP5VkL233//NGnS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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe9a3208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=\"pregnants\", hue=\"Target\",data=train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这个怀孕次数在3次以内的时候感觉与发病率没什么关系，之后尤其是6次以后发病率非常高"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LGDIiwjeXy6Wbb75Z2dnZ6tOnj1588UVlZmY2e+2oUaNks9m0ePFiuVwuORwO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      "text/plain": [
       "<matplotlib.figure.Figure at 0xef1c048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axes=plt.subplots(1,2) \n",
    "sns.violinplot(x='Target', y='Plasma_glucose_concentration', data=train, hue=\"Target\",ax=axes[0])\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('Plasma_glucose_concentration', fontsize=12)\n",
    "\n",
    "sns.violinplot(x='Target', y='blood_pressure', data=train, hue=\"Target\",ax=axes[1])\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('blood_pressure', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "实话是不太会看小提琴图，不过总体看来血浆葡萄糖浓度高的患病率高，而舒张压的影响比较小"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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oNmV897k7d+5MW1vbQakLGH2EakBVEaoBAAAA0Nv27duTJEe8hlBt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\nWi4AzUeDJtXatm2ra6+9VkbdlmmWZck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LlqmystLmREBkUaoBiCrT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      "text/plain": [
       "<matplotlib.figure.Figure at 0xefaaeb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='serum_insulin', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('serum_insulin', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AdWvVqlUaNWqUtm/fLkOmruhYodtPL5XLwZKKDc2gNl6N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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a806a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='BMI', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('BMI', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x10f76160>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LL700Q4YMSa9evTJo0KBcdNFFeeON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\nIiIiIiIiIiIiIqJJ8hfpCxRlmx4zEgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f28438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "###Diabetes_pedigree_function，糖尿病家系作用\n",
    "fig = plt.figure()\n",
    "sns.distplot(train.Diabetes_pedigree_function, kde = False)\n",
    "plt.xlabel('Diabetes_pedigree_function')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x110b2da0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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v3jxJX9b54cOH69prr/XZ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6deuwf/9+2v/PnTtH7WPLli345ptvDP598sknRu9Z+nfs2DEA9c8w8s5QWlpKI8wA4j5dUlIC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\nq3F/M2EAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111a6240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "DF = train.groupby(['Diabetes_pedigree_function', 'Target'])['Diabetes_pedigree_function'].count().unstack('Target').fillna(0)\n",
    "DF[[0,1]].plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x113f3c50>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9e/a85LpSpUpp9uzZmjt3ripUqOBJ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\nSnFxcZo4caIefvhhSQrpq1WuueYaVa5cWeXKlVPLli01YcIElSlTRrN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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11095e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=\"Age\", hue=\"Target\",data=train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
